Fusion of inertial motion sensors and electroencephalogram for activity detection

  1. Ibai Baglietto Araquistain
  2. Xabier Garmendi
  3. Manuel Graña
  4. Javier de Lope Asiain
Libro:
Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I
  1. José Manuel Ferrández Vicente (dir. congr.)
  2. José Ramón Álvarez-Sánchez (dir. congr.)
  3. Félix de la Paz López (dir. congr.)
  4. Javier Toledo Moreo (dir. congr.)
  5. Hojjat Adeli (dir. congr.)

Editorial: Springer Suiza

ISBN: 978-3-030-19591-5

Año de publicación: 2019

Páginas: 319-326

Tipo: Capítulo de Libro

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Resumen

A central issue in Computational Neuroethology is the fusionof information coming from a wide variety of devices, by computational tools and techniques aiming to correlate the neural substrate and the observable behavior. In this paper we are concerned with the fusion of information from two specific commercial devices, the Emotiv EPOC+ EEG recorder, and the Rokoko motion capture suite based on inertial motion units (IMU). We have built an ad hoc system for synchronized data capture. We test the system on the recognition of simple activities.We are able to confirm that the fusion of the neural activity information and the motion information improves the activity recognition.

Fuente de los datos: Dialnet